SynthesisScientific reports2023
Transcriptomic data meta-analysis reveals common and injury model specific gene expression changes in the regenerating zebrafish heart.
Synthesis in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 16 citations in OpenAlex.
- Article
- Cell death modalities modulate inflammatory and regenerative programs in zebrafish sensory organs.Nature communications · 2026Article
- Heart ventricle regeneration in the lizard Eublepharis macularius, the leopard gecko.NPJ Regenerative medicine · 2026Article
- Border-zone cardiomyocytes and macrophages regulate extracellular matrix remodeling to promote cardiomyocyte protrusion during cardiac regeneration.Nature communications · 2025Article
- Zebrafish as a Versatile Model for Cardiovascular Research: Peering into the Heart of the Matter.Cells · 2025Review
- Macrophages and cardiac lesion in zebrafish: what can single-cell RNA sequencing reveal?Frontiers in cardiovascular medicine · 2025Review
- Article
- A larval zebrafish model of cardiac physiological recovery following cardiac arrest and myocardial hypoxic damage.Biology open · 2024Article
- Article
- A germline chimeric KANK1-DMRT1 transcript derived from a complex structural variant is associated with a congenital heart defect segregating across five generations.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2024Article
- Meta-analysis of retinal transcriptome profiling studies in animal models of myopia.Frontiers in medicine · 2024Article
- A germline chimeric KANK1-DMRT1 transcript derived from a complex structural variant is associated with a congenital heart defect segregating across five generations.Research square · 2023Article
- Fishing Innate Immune System Properties through the Transcriptomic Single-Cell Data ofBiology · 2023Review
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Zebrafish have the capacity to fully regenerate the heart after an injury, which lies in sharp contrast to the irreversible loss of cardiomyocytes after a myocardial infarction in humans. Transcriptomics analysis has contributed to dissect underlying signaling pathways and gene regulatory networks in the zebrafish heart regeneration process. This process has been studied in response to different types of injuries namely: ventricular resection, ventricular cryoinjury, and genetic ablation of cardiomyocytes. However, there exists no database to compare injury specific and core cardiac regeneration responses. Here, we present a meta-analysis of transcriptomic data of regenerating zebrafish hearts in response to these three injury models at 7 days post injury (7dpi). We reanalyzed 36 samples and analyzed the differentially expressed genes (DEG) followed by downstream Gene Ontology Biological Processes (GO:BP) analysis. We found that the three injury models share a common core of DEG encompassing genes involved in cell proliferation, the Wnt signaling pathway and genes that are enriched in fibroblasts. We also found injury-specific gene signatures for resection and genetic ablation, and to a lower extent the cryoinjury model. Finally, we present our data in a user-friendly web interface that displays gene expression signatures across different injury types and highlights the importance to consider injury-specific gene regulatory networks when interpreting the results related to cardiac regeneration in the zebrafish. The analysis is freely available at: https://mybinder.org/v2/gh/MercaderLabAnatomy/PUB_Botos_et_al_2022_shinyapp_binder/HEAD?urlpath=shiny/bus-dashboard/ .
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.